Gen AI Developer Associate

Hexaware’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on Python coding, data structures, and basic machine‑learning concepts. The final HR round assesses cultural fit and communication skills. Candidates should practice coding on platforms like LeetCode and review recent NLP research to feel confident.

Hexaware promotes a collaborative and inclusive work environment where continuous upskilling is encouraged through regular training programs and internal tech talks. Employees enjoy a balanced mix of on‑site and remote work, with clear pathways for promotion and exposure to global client projects.

Bachelor’s degree in Computer Science, Information Technology, Mathematics, Engineering or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2022‑2025; maximum one active backlog at the time of joining; strong foundation in mathematics and programming.

Round 1: Online aptitude test (quantitative, logical reasoning, verbal) → Round 2: Technical interview (coding, ML concepts, NLP basics) → Round 3: HR interview (fitment, communication, career goals)

Hexaware Technologies is a global IT services and consulting firm headquartered in Mumbai, India. With a strong focus on digital transformation, automation, and cloud services, Hexaware has built a reputation for delivering innovative solutions to Fortune 500 clients across banking, healthcare, travel, and manufacturing. The company prides itself on a culture of continuous learning, encouraging employees to experiment with emerging technologies such as AI, machine learning, and robotic process automation. Over the past decade, Hexaware has expanded its footprint to more than 30 countries, employing over 20,000 professionals who work in collaborative, agile environments. The Gen AI Developer Associate role is designed for fresh graduates or candidates with up to one year of professional experience who are eager to dive into the fast‑evolving world of generative AI. As a member of the AI Solutions team, you will work closely with senior AI engineers, data scientists, and product managers to design, develop, and deploy AI‑driven applications that solve real‑world business problems. This position offers a unique blend of hands‑on coding, research, and product development, providing a solid foundation for a long‑term career in artificial intelligence. Key Responsibilities: 1. Design, develop, and fine‑tune generative AI models, especially for natural language processing tasks. 2. Perform data collection, cleaning, preprocessing, and feature engineering for large text corpora. 3. Conduct experiments with state‑of‑the‑art architectures such as GPT, BERT, and Transformer‑based models. 4. Evaluate model performance using metrics like BLEU, ROUGE, and perplexity, and iterate for improvement. 5. Write clean, modular, and well‑documented Python code adhering to best practices. 6. Collaborate with cross‑functional teams to integrate AI models into production pipelines and APIs. 7. Assist in deploying models on cloud platforms (AWS, Azure) and monitor their performance in real time. 8. Stay updated with the latest research papers, open‑source libraries, and industry trends in generative AI. 9. Participate in code reviews, knowledge‑sharing sessions, and internal hackathons. 10. Contribute to technical documentation and user guides for internal stakeholders. Tech Stack: Python, TensorFlow, PyTorch, Hugging Face Transformers, scikit‑learn, Docker, Kubernetes, AWS/Azure, Git, REST APIs. Growth Path: Starting as an Associate, high performers can progress to AI Engineer, Senior AI Engineer, and eventually AI Architect or Product Lead within 3‑5 years, with opportunities to lead client‑facing projects and mentor new talent. Why Join Hexaway? Hexaware offers a vibrant learning ecosystem, generous training budgets, and exposure to cutting‑edge AI projects for global clients. The company’s emphasis on work‑life balance, flexible work‑from‑home policies, and clear career progression makes it an ideal launchpad for aspiring AI professionals.